Risk Assessment of Coupled Transportation Network and Distribution Network Considering Charging Power Restriction and Uncertainty Factors

Zhi Rui; Xiaoyuan Xu; Zheng Yan; Bin Qian; Xiaoming Lin

doi:10.35833/MPCE.2025.000941

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Risk Assessment of Coupled Transportation Network and Distribution Network Considering Charging Power Restriction and Uncertainty Factors

Original Paper | 更新时间：2026-09-28

- Risk Assessment of Coupled Transportation Network and Distribution Network Considering Charging Power Restriction and Uncertainty Factors
- Journal of Modern Power Systems and Clean Energy Vol. 14, Issue 5, Pages: 1732-1743(2026)
- 作者机构：
  
  1.Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University), , Shanghai 200240, China
  2.Shanghai Non-carbon Energy Conversion and Utilization Institute, Shanghai 200240, China
  3.Electric Power Research Institute of China Southern Power Grid, Guangzhou 510663, China
  4.Guangdong Provincial Key Laboratory of Intelligent Measurement and Advanced Metering of Power Grid, Guangzhou 510663, China
- 作者简介：
  
  Zhi Rui received the B.S. degree in electrical engineering and automation from Chongqing University, Chongqing, China, in 2019, and the M.S. degree in electrical engineering from Shanghai Jiao Tong University, Shanghai, China, in 2022. He is currently pursuing a Ph.D. degree in electrical engineering at Shanghai Jiao Tong University. His research interests include power system optimization and power network resilience. Email:ruizhi1996@sjtu.edu.cn
  Xiaoyuan Xu received the B.S. and Ph.D. degrees in electrical engineering from Shanghai Jiao Tong University, Shanghai, China, in 2010 and 2016, respectively. He is currently an Associate Professor of electrical engineering at Shanghai Jiao Tong University. His research interests include power system uncertainty analysis and optimization. Email:xuxiaoyuan@sjtu.edu.cn
  Zheng Yan received the B.S. degree from Shanghai Jiao Tong University, Shanghai, China, in 1984, and the M.S. and Ph.D. degrees from Tsinghua University, Beijing, China, in 1987 and 1991, respectively, all in electrical engineering. He is currently a Professor of electrical engineering at Shanghai Jiao Tong University. His current research interests include application of optimization theory to power system, electricity market, and dynamic security assessment. Email:yanz@sjtu.edu.cn
  Bin Qian received the master’s degree in electrical engineering from Huazhong University of Science and Technology, Wuhan, China. He is currently the Head of the Measurement Equipment and Test Laboratory of Measurement Research Institute, Electric Power Research Institute of China Southern Power Grid, Guangzhou, China. His main research interests include electrical measurement and intelligent equipment detection. Email:qianbin@csg.cn
  Xiaoming Lin received the M.S. degree from South China University of Technology, Guangzhou, China. He is currently a Researcher at the Electric Power Research Institute of China Southern Power Grid, Guangzhou, China. His research interest includes interaction between electric vehicle and power grid. Email:linxm4@csg.cn
- 基金信息：
- DOI：10.35833/MPCE.2025.000941
  CLC：
- Received：03 October 2025，
  
  Revised：2026-01-07，
  
  Accepted：22 March 2026，
  
  Online First：29 April 2026，
  
  Published：15 September 2026
- 稿件说明：
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Rui Zhi,Xu Xiaoyuan,Yan Zheng,et al.Risk Assessment of Coupled Transportation Network and Distribution Network Considering Charging Power Restriction and Uncertainty Factors[J].Journal of Modern Power Systems and Clean Energy,2026,14(05):1732-1743.
DOI：

Rui Zhi,Xu Xiaoyuan,Yan Zheng,et al.Risk Assessment of Coupled Transportation Network and Distribution Network Considering Charging Power Restriction and Uncertainty Factors[J].Journal of Modern Power Systems and Clean Energy,2026,14(05):1732-1743. DOI： 10.35833/MPCE.2025.000941.

摘要

Abstract

The increasing interdependence between transportation networks (TNs) and distribution networks (DNs) presents significant challenges for the analysis and risk assessment of coupled networks. This paper presents a risk assessment framework of coupled TN and DN (TDN) considering charging power restriction and uncertainty factors

simulating operations through a coordinated optimization model. The model incorporates charging power restrictions for fast charging stations (FCSs). To enhance computation efficiency

nonlinear constraints are linearized

and an accuracy-aware adaptive piecewise linearization method is utilized. Random variables within the coupled TDN are employed as inputs to develop a surrogate model based on the Gaussian process regression method

complemented by suitable kernel functions designed for the scenarios with numerous discrete categorical variables. A global sensitivity analysis is conducted to identify the continuous and discrete uncertainty factors that significantly impact system performance. The proposed risk assessment framework serves as a valuable tool for evaluating the coupled TDN and facilitating the identification of continuous and discrete uncertainty factors affecting network operation while revealing risks associated with failures in the operation of coupled TDN.

关键词

Keywords

references

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